Search Results for author: Maryam Amir Haeri

Found 6 papers, 4 papers with code

Adaptive Explicit Kernel Minkowski Weighted K-means

no code implementations4 Dec 2020 Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh

These explicit feature maps enable us to access the data in the feature space explicitly and take advantage of K-means extensions in that space.

Clustering

Multi-Label Classification Using Link Prediction

1 code implementation11 Nov 2020 Seyed Amin Fadaee, Maryam Amir Haeri

This classifier utilizes the graph representation of the data and transforms the problem to that of link prediction where we try to find the link between an unlabeled node and the proper class node for it.

Classification General Classification +2

SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets

1 code implementation13 Jun 2020 Sayyed-Ahmad Naghavi-Nozad, Maryam Amir Haeri, Gianluigi Folino

This paper presents a batch-wise density-based clustering approach for local outlier detection in massive-scale datasets.

Clustering Outlier Detection

Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm

1 code implementation10 Feb 2019 Radin Hamidi Rad, Maryam Amir Haeri

VFDT) as a Big Data approach in dealing with the data stream for classification and regression problems showed good performance in handling facing challenges and making the possibility of any-time prediction.

General Classification regression

Classification Using Link Prediction

1 code implementation1 Oct 2018 Seyed Amin Fadaee, Maryam Amir Haeri

Using a graph representation of the data, we can convert the problem of classification to the problem of link prediction which aims at finding the missing links between the unlabeled data (unlabeled nodes) and their classes.

Classification General Classification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.